Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100616
Jinyoung Jinnie Yoo , Heejin Kim , Sungchul Choi
This study investigates how the discrete emotions expressed by travel influencers on YouTube influence viewer engagement, distinguishing between macro- and micro- influencers. Using text mining and machine learning techniques, 6,061 travel-related videos were analyzed. The results indicate that high-arousal negative emotions such as anger and disgust enhance engagement for macro-influencers but reduce engagement for micro- influencers. Conversely, low-arousal negative emotions, such as fear and sadness, increase engagement levels for micro-influencers, while decreasing them for macro-influencers. Positive emotions enhance engagement, particularly among micro-influencers. These insights can inform emotional strategies in influencer marketing.
{"title":"Expanding knowledge on emotional dynamics and viewer engagement: The role of travel influencers on youtube","authors":"Jinyoung Jinnie Yoo , Heejin Kim , Sungchul Choi","doi":"10.1016/j.jik.2024.100616","DOIUrl":"10.1016/j.jik.2024.100616","url":null,"abstract":"<div><div>This study investigates how the discrete emotions expressed by travel influencers on YouTube influence viewer engagement, distinguishing between macro- and micro- influencers. Using text mining and machine learning techniques, 6,061 travel-related videos were analyzed. The results indicate that high-arousal negative emotions such as anger and disgust enhance engagement for macro-influencers but reduce engagement for micro- influencers. Conversely, low-arousal negative emotions, such as fear and sadness, increase engagement levels for micro-influencers, while decreasing them for macro-influencers. Positive emotions enhance engagement, particularly among micro-influencers. These insights can inform emotional strategies in influencer marketing.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100616"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation is supported by the Complex Adaptive Systems (CAS) theory, Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB). In this framework, the importance of user engagement in ensuring effective AI-driven cybersecurity solutions is underlined with an emphasis on technological readiness and human interaction with AI. By fostering a security-conscious culture through continuous education and skills development, this research provides actionable insights for enhancing the resilience of smart cities against evolving cyber threats. The proposed framework lays the groundwork for future empirical studies and offers practical guidance for policymakers and urban planners dedicated to safeguarding the digital infrastructures of potentially tomorrow's cities – the smart cities.
{"title":"Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity","authors":"Heng Zeng , Manal Yunis , Ayman Khalil , Nawazish Mirza","doi":"10.1016/j.jik.2024.100601","DOIUrl":"10.1016/j.jik.2024.100601","url":null,"abstract":"<div><div>As smart cities advance, Internet of Things (IoT) devices present cybersecurity challenges that call for innovative solutions. This paper presents a conceptual model for using AI-enabled anomaly detection systems to identify anomalies and security threats in smart city IoT networks. The foundation is supported by the Complex Adaptive Systems (CAS) theory, Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB). In this framework, the importance of user engagement in ensuring effective AI-driven cybersecurity solutions is underlined with an emphasis on technological readiness and human interaction with AI. By fostering a security-conscious culture through continuous education and skills development, this research provides actionable insights for enhancing the resilience of smart cities against evolving cyber threats. The proposed framework lays the groundwork for future empirical studies and offers practical guidance for policymakers and urban planners dedicated to safeguarding the digital infrastructures of potentially tomorrow's cities – the smart cities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100601"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100607
Bin Sang , Rafidah Md Noor , Ezlika Mohd Ghazali , Nasrin Aghamohammadi
There is increasing awareness that customers and suppliers serve as key external information sources for the innovation of small and medium-sized enterprises (SMEs). However, existing research on the influence of customer participation (CP) and supplier participation (SP) remains inconsistent. This study addresses this gap by investigating how CP and SP affect different types of innovation performance of SMEs in China. Furthermore, by addressing the gap regarding the unclear mechanisms of CP and SP in SMEs’ innovation performance, this study explores the mediating role of a firm's absorptive capacity on innovation performance and the conditions under which absorptive capacity will be more effective. Based on a sample of 1861 SMEs in China, the findings highlight that CP positively impacts product innovation performance, with absorptive capacity acting as a partial mediator. Additionally, both CP and SP influence process innovation performance directly or through absorptive capacity. Meanwhile, the business environment moderates the effect of absorptive capacity on product innovation performance. These findings contribute to the theory of open innovation and offer valuable insights for SME managers, entrepreneurs, and scholars in enhancing innovation outcomes.
{"title":"How does supply chain collaboration improve innovation performance of SMEs? The roles of absorptive capacity and business environment","authors":"Bin Sang , Rafidah Md Noor , Ezlika Mohd Ghazali , Nasrin Aghamohammadi","doi":"10.1016/j.jik.2024.100607","DOIUrl":"10.1016/j.jik.2024.100607","url":null,"abstract":"<div><div>There is increasing awareness that customers and suppliers serve as key external information sources for the innovation of small and medium-sized enterprises (SMEs). However, existing research on the influence of customer participation (CP) and supplier participation (SP) remains inconsistent. This study addresses this gap by investigating how CP and SP affect different types of innovation performance of SMEs in China. Furthermore, by addressing the gap regarding the unclear mechanisms of CP and SP in SMEs’ innovation performance, this study explores the mediating role of a firm's absorptive capacity on innovation performance and the conditions under which absorptive capacity will be more effective. Based on a sample of 1861 SMEs in China, the findings highlight that CP positively impacts product innovation performance, with absorptive capacity acting as a partial mediator. Additionally, both CP and SP influence process innovation performance directly or through absorptive capacity. Meanwhile, the business environment moderates the effect of absorptive capacity on product innovation performance. These findings contribute to the theory of open innovation and offer valuable insights for SME managers, entrepreneurs, and scholars in enhancing innovation outcomes.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100607"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100609
Junic Kim, Wenzheng Jin
Digital transformation is pivotal in corporate development, fundamentally reshaping core business components. Although it is recognized that enhanced digital capabilities improve performance through data-driven processes, existing research has primarily focused on large enterprises. As a result, small and medium-sized enterprises (SMEs) often hesitate to invest due to uncertainties regarding the impact. This study fills this gap by examining the influence of digital capabilities on entrepreneurial performance and advocates for increased SME investment in digital transformation. Analyzing data from 313 SME managers, the results reveal that digital capabilities substantially boost performance, with opportunity capability serving as a critical mediator. Additionally, entrepreneurial leadership strengthens the connection between digital fluency, opportunity capability, and performance. This research highlights the necessity of integrating digital capabilities, opportunity capability, and entrepreneurial leadership to optimize business outcomes, providing practical insights for SMEs to formulate effective digital transformation strategies.
{"title":"Impact of digital capabilities on entrepreneurial performance in SMEs","authors":"Junic Kim, Wenzheng Jin","doi":"10.1016/j.jik.2024.100609","DOIUrl":"10.1016/j.jik.2024.100609","url":null,"abstract":"<div><div>Digital transformation is pivotal in corporate development, fundamentally reshaping core business components. Although it is recognized that enhanced digital capabilities improve performance through data-driven processes, existing research has primarily focused on large enterprises. As a result, small and medium-sized enterprises (SMEs) often hesitate to invest due to uncertainties regarding the impact. This study fills this gap by examining the influence of digital capabilities on entrepreneurial performance and advocates for increased SME investment in digital transformation. Analyzing data from 313 SME managers, the results reveal that digital capabilities substantially boost performance, with opportunity capability serving as a critical mediator. Additionally, entrepreneurial leadership strengthens the connection between digital fluency, opportunity capability, and performance. This research highlights the necessity of integrating digital capabilities, opportunity capability, and entrepreneurial leadership to optimize business outcomes, providing practical insights for SMEs to formulate effective digital transformation strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100609"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100626
Hua Depeng , Fracisco Javier S. Lacarcel , Virginia Simón-Moya
Cooperative forms of organization have led to major advances in energy use in the last decade. A common cooperative form in the energy sector is that of energy communities. These energy communities produce, distribute, and consume their own sustainable energy. To explore this cooperative structure and create knowledge on the topic, this study presents a comprehensive bibliometric analysis of the scientific literature on energy communities and cooperatives. Using bibliographic coupling, co-citation analysis, and keyword co-occurrence, the analysis identifies key themes and interconnections in this research field. The findings reveal major focus areas and key characteristics, including renewable energy, community energy, energy transition, policy, participation, governance, and innovation. The study highlights the importance of integrating technological innovation, community involvement, and cooperative models to advance sustainable energy systems in energy communities. Finally, this study makes a unique contribution through its holistic mapping of the research landscape. It thus provides an original synthesis of key themes and gaps in the literature. The proposal of seven future research directions, 14 research objectives, and 21 research questions creates a comprehensive framework designed to guide future academic inquiry and inform policy and practice in the evolving field of energy communities and cooperatives.
{"title":"The dynamics of energy communities and innovative cooperatives: Mapping current knowledge and future trends","authors":"Hua Depeng , Fracisco Javier S. Lacarcel , Virginia Simón-Moya","doi":"10.1016/j.jik.2024.100626","DOIUrl":"10.1016/j.jik.2024.100626","url":null,"abstract":"<div><div>Cooperative forms of organization have led to major advances in energy use in the last decade. A common cooperative form in the energy sector is that of energy communities. These energy communities produce, distribute, and consume their own sustainable energy. To explore this cooperative structure and create knowledge on the topic, this study presents a comprehensive bibliometric analysis of the scientific literature on energy communities and cooperatives. Using bibliographic coupling, co-citation analysis, and keyword co-occurrence, the analysis identifies key themes and interconnections in this research field. The findings reveal major focus areas and key characteristics, including renewable energy, community energy, energy transition, policy, participation, governance, and innovation. The study highlights the importance of integrating technological innovation, community involvement, and cooperative models to advance sustainable energy systems in energy communities. Finally, this study makes a unique contribution through its holistic mapping of the research landscape. It thus provides an original synthesis of key themes and gaps in the literature. The proposal of seven future research directions, 14 research objectives, and 21 research questions creates a comprehensive framework designed to guide future academic inquiry and inform policy and practice in the evolving field of energy communities and cooperatives.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100626"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100588
Anna-Maria Kanzola, Konstantina Papaioannou, Panagiotis E. Petrakis
The strict rational paradigm of neoclassical economic theory has resulted in limited exploration of emotions in managerial decision-making processes. This study attempts to address this gap by examining how emotions influence efficient managerial decision-making, generating a modern perspective for organizational theory beyond the existing theoretical paradigm. The concept of managerial decision-making is approached through three dependent variables: strategic planning, innovative crisis management, and pragmatism. This study analyzed the responses of 151 managers of small- and medium-sized firms in Greece collected during field research in 2023. Emotions are perceived as unique information that interacts with other factors, such as the conscious evaluation of inputs. The analysis of emotions was based on a modified understanding of the anthropological term of emotional culture. The findings demonstrate that emotional culture contributes to managerial decision-making. Influential variables included basic emotions, emotions that communicate motives, cultural values, fast and slow thinking, and demographics. These variables highlight the interaction of pure emotional and rational factors in managerial decision-making. This study provides insights into how “human-related” traits contribute to or affect decision-making processes. This interdisciplinary perspective has both micro- and macro-level implications. At the micro level, the study explores strategic management, managerial skills for effective decision-making—especially considering the rise of artificial intelligence—and modern perspectives of organizational theory based on behavioral economics. At the macro level, it offers insights into cumulative behavioral expressions and how emotion analysis could be used to understand cultures and stereotypes within societies. The study has implications for the relationship between policymaking and production structure.
{"title":"Exploring the other side of innovative managerial decision-making: Emotions","authors":"Anna-Maria Kanzola, Konstantina Papaioannou, Panagiotis E. Petrakis","doi":"10.1016/j.jik.2024.100588","DOIUrl":"10.1016/j.jik.2024.100588","url":null,"abstract":"<div><div>The strict rational paradigm of neoclassical economic theory has resulted in limited exploration of emotions in managerial decision-making processes. This study attempts to address this gap by examining how emotions influence efficient managerial decision-making, generating a modern perspective for organizational theory beyond the existing theoretical paradigm. The concept of managerial decision-making is approached through three dependent variables: strategic planning, innovative crisis management, and pragmatism. This study analyzed the responses of 151 managers of small- and medium-sized firms in Greece collected during field research in 2023. Emotions are perceived as unique information that interacts with other factors, such as the conscious evaluation of inputs. The analysis of emotions was based on a modified understanding of the anthropological term of emotional culture. The findings demonstrate that emotional culture contributes to managerial decision-making. Influential variables included basic emotions, emotions that communicate motives, cultural values, fast and slow thinking, and demographics. These variables highlight the interaction of pure emotional and rational factors in managerial decision-making. This study provides insights into how “human-related” traits contribute to or affect decision-making processes. This interdisciplinary perspective has both micro- and macro-level implications. At the micro level, the study explores strategic management, managerial skills for effective decision-making—especially considering the rise of artificial intelligence—and modern perspectives of organizational theory based on behavioral economics. At the macro level, it offers insights into cumulative behavioral expressions and how emotion analysis could be used to understand cultures and stereotypes within societies. The study has implications for the relationship between policymaking and production structure.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100588"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100562
Mustafa Almuzel , Tugrul U Daim , Birol Yesilada , Marina Dabić , Gulin Idil Bolatan
Entrepreneurship is a crucial driver of economic growth, necessitating the development of effective entrepreneurial ecosystems. However, there are significant gaps in the literature regarding the structured assessment of these ecosystems. This study addresses three main research gaps: the lack of structured evaluation methods, the need for a comprehensive analysis of ecosystem challenges from various perspectives, and the identification of critical factors essential for ecosystem growth. To bridge these gaps, the research introduces the Hierarchical Decision Model (HDM) as a universal assessment framework that can be adapted to different cities for creating effective entrepreneurial environments. The research methodology involved formulating perspectives and criteria through literature reviews and expert interviews. These perspectives and criteria were validated by subject matter experts and quantified by other experts to assign relative weights to each. Desirability curves were developed to measure these criteria, scored by experts. The practical applicability of the HDM was demonstrated through a case study of Riyadh, showcasing the model's effectiveness in real-world scenarios. Key findings include the identification and ranking of twenty critical criteria across five main perspectives, along with the development of desirability curves for each criterion. This provides a practical, easy-to-implement evaluation tool for policymakers. The contributions of this research are multifaceted: it introduces HDM to the field of entrepreneurship ecosystem assessment, offers a practical model for ecosystem performance measurement, and presents a framework for policy improvements. Additionally, it highlights the importance of continuous model refinement and the inclusion of diverse case studies for broader validation. Future research should focus on expanding the model to include sub-models for different regions and stages of startups’ development, ensuring its ongoing relevance and applicability. The findings show the most effective factors (perspectives and criteria) in developing entrepreneurial ecosystems and provide a method to measure the level of each criterion without requiring deep knowledge of the methodology, making it easier to implement the model in any ecosystem with any experts. The research offers an explicit case study evaluation of Riyadh's entrepreneurial ecosystem and provides recommendations for improvement areas. This study contributes to the technology management body of knowledge, particularly in the context of entrepreneurship ecosystems, presenting a universal assessment model for measuring ecosystem performance in any city. It creates an evaluation and improvement framework for policymakers to develop entrepreneurial ecosystems in their cities, ensuring continuous relevance and practicality through ongoing refinement and diverse case study applications.
{"title":"Developing an assessment model for entrepreneurship ecosystems using Hierarchical Decision Model","authors":"Mustafa Almuzel , Tugrul U Daim , Birol Yesilada , Marina Dabić , Gulin Idil Bolatan","doi":"10.1016/j.jik.2024.100562","DOIUrl":"10.1016/j.jik.2024.100562","url":null,"abstract":"<div><div>Entrepreneurship is a crucial driver of economic growth, necessitating the development of effective entrepreneurial ecosystems. However, there are significant gaps in the literature regarding the structured assessment of these ecosystems. This study addresses three main research gaps: the lack of structured evaluation methods, the need for a comprehensive analysis of ecosystem challenges from various perspectives, and the identification of critical factors essential for ecosystem growth. To bridge these gaps, the research introduces the Hierarchical Decision Model (HDM) as a universal assessment framework that can be adapted to different cities for creating effective entrepreneurial environments. The research methodology involved formulating perspectives and criteria through literature reviews and expert interviews. These perspectives and criteria were validated by subject matter experts and quantified by other experts to assign relative weights to each. Desirability curves were developed to measure these criteria, scored by experts. The practical applicability of the HDM was demonstrated through a case study of Riyadh, showcasing the model's effectiveness in real-world scenarios. Key findings include the identification and ranking of twenty critical criteria across five main perspectives, along with the development of desirability curves for each criterion. This provides a practical, easy-to-implement evaluation tool for policymakers. The contributions of this research are multifaceted: it introduces HDM to the field of entrepreneurship ecosystem assessment, offers a practical model for ecosystem performance measurement, and presents a framework for policy improvements. Additionally, it highlights the importance of continuous model refinement and the inclusion of diverse case studies for broader validation. Future research should focus on expanding the model to include sub-models for different regions and stages of startups’ development, ensuring its ongoing relevance and applicability. The findings show the most effective factors (perspectives and criteria) in developing entrepreneurial ecosystems and provide a method to measure the level of each criterion without requiring deep knowledge of the methodology, making it easier to implement the model in any ecosystem with any experts. The research offers an explicit case study evaluation of Riyadh's entrepreneurial ecosystem and provides recommendations for improvement areas. This study contributes to the technology management body of knowledge, particularly in the context of entrepreneurship ecosystems, presenting a universal assessment model for measuring ecosystem performance in any city. It creates an evaluation and improvement framework for policymakers to develop entrepreneurial ecosystems in their cities, ensuring continuous relevance and practicality through ongoing refinement and diverse case study applications.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100562"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100598
Bruno Miguel Vital Bernardo , Henrique São Mamede , João Manuel Pereira Barroso , Vítor Manuel Pereira Duarte dos Santos
In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company's success in a rapidly changing market. Data are also used to support most organizational activities and decisions. As a result, information, effective data governance, and technology utilization will play a significant role in controlling and maximizing the value of enterprises. This article conducts an extensive methodological and systematic review of the data governance field, covering its key concepts, frameworks, and maturity assessment models. Our goal is to establish the current baseline of knowledge in this field while providing differentiated and unique insights, namely by exploring the relationship between data governance, data assurance, and digital forensics. By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical definition and application of data governance initiatives.
{"title":"Data governance & quality management—Innovation and breakthroughs across different fields","authors":"Bruno Miguel Vital Bernardo , Henrique São Mamede , João Manuel Pereira Barroso , Vítor Manuel Pereira Duarte dos Santos","doi":"10.1016/j.jik.2024.100598","DOIUrl":"10.1016/j.jik.2024.100598","url":null,"abstract":"<div><div>In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company's success in a rapidly changing market. Data are also used to support most organizational activities and decisions. As a result, information, effective data governance, and technology utilization will play a significant role in controlling and maximizing the value of enterprises. This article conducts an extensive methodological and systematic review of the data governance field, covering its key concepts, frameworks, and maturity assessment models. Our goal is to establish the current baseline of knowledge in this field while providing differentiated and unique insights, namely by exploring the relationship between data governance, data assurance, and digital forensics. By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical definition and application of data governance initiatives.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100598"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100604
Melissa L Innes
Corporate foresight (CF) is considered an organizational capability that contributes to the innovativeness and sustained competitive advantage of firms, particularly in the presence of organizational learning (OL). The business literature positions individuals as important to the CF process but it provides limited clarification about how individuals do foresight or, more specifically, how they experience foresight in organizations. Embracing the resource-based view of the firm, this study provides understanding of how individuals use tacit knowledge in individual foresight (IF) and engage in OL mechanisms to contribute to innovativeness. The micro-foundations of IF are examined to determine how employees experience IF in an organizational context. Adopting a phenomenological approach, 27 interviews were conducted with employees across the finance and insurance and utilities industries, resulting in a theoretical framework of IF. Examining the lifeworld of individuals as they experience foresight revealed a rich tapestry of both personal and intra-organizational social capital interactions useful in demonstrating the role of IF for innovation in firms. Storytelling, mentorship, and group reflection, supported by appropriate culture, leadership, and human resource strategies, confirm the value of fostering IF to encourage innovation. This study advances foresight research by broadening understanding of IF from an employee perspective—specifically, how IF is experienced and can foster OL and innovation outcomes for firms. Implications for firms and opportunities for a future research agenda are proposed.
企业远见（CF）被认为是一种组织能力，有助于提高企业的创新能力和持续竞争优势，尤其是在组织学习（OL）的情况下。商业文献将个人定位为企业远见过程中的重要因素，但对于个人如何进行远见，或者更具体地说，个人如何在组织中体验远见，所提供的说明却很有限。本研究采用基于资源的企业观点，让人们了解个人如何在个人预见（IF）中使用隐性知识，并参与 OL 机制，从而提高创新能力。本研究考察了个人预见（IF）的微观基础，以确定员工如何在组织环境中体验个人预见（IF）。采用现象学方法，对金融、保险和公用事业行业的员工进行了 27 次访谈，最终形成了 IF 理论框架。通过研究个人在经历前瞻时的生活世界，我们发现了丰富的个人和组织内部社会资本互动，这有助于证明综合框架在企业创新中的作用。在适当的文化、领导力和人力资源战略的支持下，讲故事、导师指导和小组反思证实了培养 IF 以鼓励创新的价值。这项研究从员工的角度扩大了对综合框架的理解，特别是对综合框架如何被体验以及如何促进企业的OL和创新成果的理解，从而推进了前瞻性研究。本研究还提出了对企业的启示以及未来研究议程的机遇。
{"title":"Exploring individual foresight: Implications for organizational learning and innovation in firms","authors":"Melissa L Innes","doi":"10.1016/j.jik.2024.100604","DOIUrl":"10.1016/j.jik.2024.100604","url":null,"abstract":"<div><div>Corporate foresight (CF) is considered an organizational capability that contributes to the innovativeness and sustained competitive advantage of firms, particularly in the presence of organizational learning (OL). The business literature positions individuals as important to the CF process but it provides limited clarification about how individuals <em>do</em> foresight or, more specifically, how they experience foresight in organizations. Embracing the resource-based view of the firm, this study provides understanding of how individuals use tacit knowledge in individual foresight (IF) and engage in OL mechanisms to contribute to innovativeness. The micro-foundations of IF are examined to determine how employees experience IF in an organizational context. Adopting a phenomenological approach, 27 interviews were conducted with employees across the finance and insurance and utilities industries, resulting in a theoretical framework of IF. Examining the lifeworld of individuals as they experience foresight revealed a rich tapestry of both personal and intra-organizational social capital interactions useful in demonstrating the role of IF for innovation in firms. Storytelling, mentorship, and group reflection, supported by appropriate culture, leadership, and human resource strategies, confirm the value of fostering IF to encourage innovation. This study advances foresight research by broadening understanding of IF from an employee perspective—specifically, how IF is experienced and can foster OL and innovation outcomes for firms. Implications for firms and opportunities for a future research agenda are proposed.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100604"},"PeriodicalIF":15.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.jik.2024.100595
Joana Ribeiro, Filipa Pires da Silva, Pedro Rino Vieira
The coronavirus disease 2019 pandemic has accelerated the adoption of remote and hybrid forms of work in organizations. Despite the benefits that these flexible working models can bring to both employees and organizations, they are accompanied by a darker side. Heavy digital presence, increased workload, and blurred boundaries between work and life are some of the hindrances derived from remote working that directly affect employee well-being. Aware of the negative consequences that can lead to individual and organizational performance, companies are expected to define and adapt policies and regulations to protect employees and promote their well-being. However, literature addressing these research topics is scarce, and many contributions are dispersed across different fields. Therefore, we address this research gap by performing a bibliometric analysis of the contributions to remote employee well-being and complementing it with a content analysis. A sample of 64 publications was collected from two different databases. This study provides a performance measurement analysis of publications and citations and a scientific mapping of collaboration networks and emerging thematic trends. Furthermore, the content analysis allows us to understand how the organizational perspective on the well-being of employees in remote working settings has been addressed in the literature, clearly identifying opportunities for future research. Finally, the major challenges and research agendas are discussed.
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